About

ArtNet

ArtNet Inc. is a software architecture and AI engineering firm with over a decade of experience building production systems across security, AI, and distributed infrastructure.

Our focus today is at the intersection of large language models and security engineering — specifically, how organizations can deploy AI systems that are capable, reliable, and resistant to adversarial attack.

We write here about the things we're working through: AI system design, emerging threats in AI security, software architecture patterns, and the practical craft of building software that scales.

Technical Expertise

AI & ML

  • LLM Systems
  • RAG Pipelines
  • AI Agents
  • Model Evaluation
  • Fine-tuning

Security

  • AI Security
  • Threat Modeling
  • Prompt Injection
  • Zero Trust
  • DevSecOps

Architecture

  • Microservices
  • Event-Driven
  • DDD
  • API Design
  • System Design

Languages

  • TypeScript
  • Python
  • Go
  • Rust
  • SQL

Infrastructure

  • AWS
  • GCP
  • Kubernetes
  • Docker
  • Terraform

Data

  • PostgreSQL
  • Redis
  • Kafka
  • Vector DBs
  • Elasticsearch

Experience

  1. 2023 — Present

    Independent Consultant

    artnetinc.com

    Advising high-growth startups and enterprises on AI system architecture, LLM integration strategy, and AI security frameworks. Designing and delivering production-grade AI products.

  2. 2020 — 2023

    Principal Software Architect

    Stealth AI Startup

    Led architecture for a large-scale LLM-powered platform. Established security practices for AI pipelines, designed multi-tenant infrastructure on AWS, and built the core ML engineering team.

  3. 2016 — 2020

    Senior Software Engineer

    Enterprise SaaS Company

    Designed and implemented distributed microservices handling 100M+ daily requests. Led migrations from monolithic architectures, established CI/CD practices, and mentored a team of 12 engineers.

  4. 2012 — 2016

    Software Engineer

    Security Software Company

    Built security tooling and static analysis systems. Developed expertise in cryptographic protocols, secure coding practices, and threat modeling.